%0 Journal Article
%@ 2369-2960
%I JMIR Publications
%V 6
%N 4
%P e25076
%T Population Size Estimation Methods: Searching for the Holy Grail
%A Neal,Joyce J
%A Prybylski,Dimitri
%A Sanchez,Travis
%A Hladik,Wolfgang
%+ Epidemiology and Surveillance Branch, Division of Global HIV & TB, Center for Global Health, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329, United States, 1 404 433 0184, jxn4@cdc.gov
%K HIV
%K key populations
%K population size estimation
%K capture-recapture
%D 2020
%7 3.12.2020
%9 Editorial
%J JMIR Public Health Surveill
%G English
%X Accurate size estimates of key populations (eg, sex workers, people who inject drugs, transgender people, and men who have sex with men) can help to ensure adequate availability of services to prevent or treat HIV infection; inform HIV response planning, target setting, and resource allocation; and provide data for monitoring and evaluating program outcomes and impact. A gold standard method for population size estimation does not exist, but quality of estimates could be improved by using empirical methods, multiple data sources, and sound statistical concepts. To highlight such methods, a special collection of papers in JMIR Public Health and Surveillance has been released under the title “Key Population Size Estimations.” We provide a summary of these papers to highlight advances in the use of empirical methods and call attention to persistent gaps in information.
%M 33270035
%R 10.2196/25076
%U http://publichealth.jmir.org/2020/4/e25076/
%U https://doi.org/10.2196/25076
%U http://www.ncbi.nlm.nih.gov/pubmed/33270035